113 citations · 1.1k across the 69 of their papers we have counts for
4 papers · 1 filter
An Online Topic Modeling Framework with Topics Automatically Labeled
Fenglei Jin, Cuiyun Gao, Michael R. Lyu
In this paper, we propose a novel online topic tracking framework, named IEDL, for tracking the topic changes related to deep learning techniques on Stack Exchange and automaticall…
Learning to Rank Using Localized Geometric Mean Metrics
Yuxin Su, Irwin King, Michael Lyu
Many learning-to-rank (LtR) algorithms focus on query-independent model, in which query and document do not lie in the same feature space, and the rankers rely on the feature ensem…
A Survey of Point-of-interest Recommendation in Location-based Social Networks
Shenglin Zhao, Irwin King, Michael R. Lyu
Point-of-interest (POI) recommendation that suggests new places for users to visit arises with the popularity of location-based social networks (LBSNs). Due to the importance of PO…
GT-SEER: Geo-Temporal SEquential Embedding Rank for Point-of-interest Recommendation
Shenglin Zhao, Tong Zhao, Irwin King +1
Point-of-interest (POI) recommendation is an important application in location-based social networks (LBSNs), which learns the user preference and mobility pattern from check-in se…